%YAML:1.0 #################################################################################################### # SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: LicenseRef-NvidiaProprietary # # NVIDIA CORPORATION, its affiliates and licensors retain all intellectual # property and proprietary rights in and to this material, related # documentation and any modifications thereto. Any use, reproduction, # disclosure or distribution of this material and related documentation # without an express license agreement from NVIDIA CORPORATION or # its affiliates is strictly prohibited. #################################################################################################### BaseConfig: minDetectorConfidence: 0.1345 # If the confidence of a detector bbox is lower than this, then it won't be considered for tracking TargetManagement: enableBboxUnClipping: 0 # In case the bbox is likely to be clipped by image border, unclip bbox maxTargetsPerStream: 300 # Max number of targets to track per stream. Recommended to set >10. Note: this value should account for the targets being tracked in shadow mode as well. Max value depends on the GPU memory capacity # [Creation & Termination Policy] minIouDiff4NewTarget: 0.5780 # If the IOU between the newly detected object and any of the existing targets is higher than this threshold, this newly detected object will be discarded. minTrackerConfidence: 0.8216 # If the confidence of an object tracker is lower than this on the fly, then it will be tracked in shadow mode. Valid Range: [0.0, 1.0] probationAge: 5 # 5 # If the target's age exceeds this, the target will be considered to be valid. maxShadowTrackingAge: 26 # Max length of shadow tracking. If the shadowTrackingAge exceeds this limit, the tracker will be terminated. earlyTerminationAge: 1 # If the shadowTrackingAge reaches this threshold while in TENTATIVE period, the the target will be terminated prematurely. TrajectoryManagement: useUniqueID: 0 # Use 64-bit long Unique ID when assignining tracker ID. Default is [true] DataAssociator: dataAssociatorType: 0 # the type of data associator among { DEFAULT= 0 } associationMatcherType: 1 # the type of matching algorithm among { GREEDY=0, CASCADED=1 } checkClassMatch: 1 # If checked, only the same-class objects are associated with each other. Default: true # [Association Metric: Thresholds for valid candidates] minMatchingScore4Overall: 0.2543 # Min total score minMatchingScore4SizeSimilarity: 0.4019 # Min bbox size similarity score minMatchingScore4Iou: 0.2159 # Min IOU score matchingScoreWeight4SizeSimilarity: 0.1365 # Weight for the Size-similarity score matchingScoreWeight4Iou: 0.3836 # Weight for the IOU score # [Association Metric: Tentative detections] only uses iou similarity for tentative detections tentativeDetectorConfidence: 0.2331 # If a detection's confidence is lower than this but higher than minDetectorConfidence, then it's considered as a tentative detection minMatchingScore4TentativeIou: 0.2867 # Min iou threshold to match targets and tentative detection usePrediction4Assoc: 1 # use the predicted state info for association instead of the past known states StateEstimator: stateEstimatorType: 2 # the type of state estimator among { DUMMY=0, SIMPLE=1, REGULAR=2 } # [Dynamics Modeling] noiseWeightVar4Loc: 0.0301 # weight of process and measurement noise for bbox center; if set, location noise will be proportional to box height noiseWeightVar4Vel: 0.0017 # weight of process and measurement noise for velocity; if set, velocity noise will be proportional to box height useAspectRatio: 1 # use aspect ratio in Kalman filter's observation